AI Resource Center
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The Basics of Small Data: Actionable Data Provide a New Path Forward in AI
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Verbatim vs. Intelligent Verbatim: Which Transcript Style to Choose, and When
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Data Science and Machine Learning Automation: What to Know About the State of Automation in AI
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Navigating the Transcription Process
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Don’t Start from Scratch When Building Machine Learning Models
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The Role of Data in Responsible AI: Data Decisions that Shape the Future of Ethical AI
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What is Optical Character Recognition?
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eBooks
The Essential Guide to Training Data for AI and ML
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What is AutoML?
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Where eBay Went Right—and Wrong—With AI: What You Measure Matters
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Types of Errors We See with Training Data: How to Recognize and Avoid Common Data Error
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Responsible AI Across the Value Chain: Ethical Approaches to AI from Data to Deployment—and Beyond
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Five AI Market Trends for 2021: Shifting Approaches to Data, Use Cases, and More
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How To Choose the Right Provider for Your Official Record Transcripts
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What is Data Labeling?
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How to Get Started: Building Trustworthy AI in the European Union
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How to Reduce Bias in AI
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Overcoming AI Deployment Challenges
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3 Things Business Decision-Makers Must Do to Create Better AI
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What is Text Annotation in Machine Learning?
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Secure Transcription Services for Sensitive Data
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AI in Police Work
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The Value of AI: Exploring Opportunities and Challenges in AI Technology
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What is LiDAR?
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You Can’t Just Use AI – You Must Lead With AI
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An Introduction to Audio, Speech, and Language Processing
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To Launch AI Successfully, Be Prepared to Scale
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AI Data Acquisition and Governance
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Four Tips to Pick Your Goldilocks Problem for AI
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ML Techniques: Active Learning vs Weak Supervision
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Case Studies
London School of Economics Takes Agile Approach to Data Labeling with Appen
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Data Sheets
Appen’s Computer Vision Expertise
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Data Sheets
Natural Language Processing & Speech Technology at Appen
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AI Model Maintenance: A Guide to Managing a Model Post-Production
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What is AI-Powered Search Relevance?
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Leveraging AI and Machine Learning for Content Moderation
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eBooks
Responsible AI from Pilot to Production
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AI Ethics: The Guide to Building Responsible AI
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How to Approach Data Collection for Conversational AI Agents
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How to Build Successful Computer Vision Applications
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AI and Data Protection: Certifications and Regulations
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How to Deploy AI with Confidence
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Conversational AI: Making Smarter and More Scalable Models
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Should You Build or Buy a Data Annotation Tool?
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How Off-the-Shelf Training Datasets Can Save Your ML Teams Time and Money
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What is Natural Language Processing?
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Train AI Summit 2020: Speakers and Sessions Announced
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Whitepapers
Driving ROI Through AI
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Press Releases
Appen Partners with World Economic Forum to Create Responsible AI Standards
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Is Your Organization AI-Ready?
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What is AIOps?
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Common Sense AI: Making Deep Learning Technologies More Human
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Press Releases
Appen’s Annual State of AI Report Finds Skyrocketing C-Suite Involvement, Surging Investment
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Webinars
Embracing Responsible AI from Pilot to Production
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Press Releases
Figure Eight Federal Welcomes New Senior Vice President to Grow Government Partnerships
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Appen Offers Fully Integrated Figure Eight Solution
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eBooks
How to Create an AI Center of Excellence for Enterprise
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eBooks
AIOps for Business Leaders
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Top 6 Trends for AI Initiatives Going into 2020
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Press Releases
Appen Launches Secure Workspace Solution to Protect Sensitive Data for Annotation in Facilities or in At-Home Environments
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Artificial Intelligence and Machine Learning Industry News: AI Trends Transforming the Way We Do Business
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Webinars
Driving Quality in Your AI Training Data
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Appen Around the Globe: Fall 2019 Conference Rundown
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Press Releases
Appen Training Data Solution Unveils Feature Enhancements to Accelerate Customers’ AI Initiatives
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Cost-Effective Crowdsourcing Strategies for Dialogue Systems
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How to Solve Common Data Challenges in Conversational Design
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Appen on the Road: Events & Trade Shows this Summer
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5 Reasons to Outsource Your Data Annotation Projects
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Blog
Appen Becomes Leading Language Service Provider; Maintains Leading Position in APAC
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Webinars
How to Secure Your Data for AI
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Whitepapers
The 2021 State of AI and Machine Learning Report
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Press Releases
Appen Completes Acquisition of Figure Eight and Achieves Critical Integration Milestone
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Webinars
Making AI Work in the Real World
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Blog
RE·WORK’s Q&A with Wilson Pang, CTO of Appen
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What New Jobs Will AI Create?
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Recent AI Developments in China
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Machine Learning is Here to Stay
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Appen Founders Nominated For 2018 Innovation Award
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Artificial Intelligence and Machine Learning Industry News: London Metropolitan Police, MIT Drug Research, and AI Art at Auction
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Insights From O’Reilly Media’s Artificial Intelligence 2018 Conference
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Investing in AI: The Time is Now
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Artificial Intelligence and Machine Learning Industry News: Robot Hands, Google Glass, and AI in China
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Webinars
Getting Started with the Appen Platform
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Machine Learning Adoption by Industry: A Q&A with Stephen Woodard
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Why Data Governance is Vital for AI and ML
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Key Considerations; Getting Started With Machine Learning
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Appen Recognized Among Largest Language Service Providers in the World
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AI Use Cases; Which Can Have the Most Impact on Your Business?
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Great Machine Learning Data: It’s Not About Quantity or Quality — It’s About Both
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Webinars
Combining Human Intelligence with Machine Learning for NLP and Speech
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Meet Up with Us at these Upcoming Spring Events
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Insights from Conversational Interaction 2018: NLP, Chatbots, and Comedians
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Meet Up with Us at Upcoming Events
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Meet Us on the Road in November
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AI Requires a Human Touch: How Appen Recruits Crowds to Improve Technology
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Supporting the Artificial Intelligence Market in China: Appen Office in Bejing
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The Impact of Video Evidence in Court UK
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Insights from Big Data Innovation Summit 2017: Six Steps to Harness Unstructured Data
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Insights from LocWorld China 2017 | Data is Key
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Insights from AI Frontiers Conference 2017 | Trends in AI
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The Hunt for Human Speech Data
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Insights from AI World 2016 | Top Takeaways
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Crowdsourced Data: When to Use Curated Crowds vs. Crowdsourcing
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